Turn meetings
naar binnen summaries you trust.

A different approach to meeting summaries.

An AI prompt for meeting summaries is an instruction that tells a language model exactly what to pull out of a transcript: decisions, owners, deadlines, sentiment, risk. Teams write these prompts by hand for years, tuning the wording until the recap finally sounds like something a person would send. The prompt is only half the problem. The other half is what it runs against.

Why a good prompt still produces a bad summary

Most teams paste a transcript into a chat window and hope. The words are all there, but the model has no memory of last week’s meeting, no sense of who on the call always talks over budget, no idea which action items are recurring and which are new. A great prompt run against a flat wall of text still misses tone, urgency, and who actually agreed to what versus who just nodded.

De vergadering lezen, niet alleen het transcript

Speak AI treats every meeting recording the way an experienced chief of staff would, at machine speed. Each session is transcribed in your language, with 100+ supported, then analyzed for who said what, how they said it, and where the energy in the room shifted. Prompts run natively over that structured recording with ChatGPT, Claude, and Gemini built in, not over a stripped-down transcript.

Then you ask across your entire meeting history with AI chat, using the same prompt workflows teams once rebuilt from scratch in every new tool.

Prompts teams run on their meetings

• “Summarize the decisions, owners, and deadlines from this meeting, and flag anything unresolved.”
• “List every action item assigned today, who owns it, and when it’s due.”
• “Pull the strategic risks and opportunities raised in this discussion.”
• “Rewrite this recap for stakeholders who weren’t in the room.”
• “Where did we disagree in this meeting, and how was it resolved?”
• “Catalogue every new idea proposed this quarter, and who proposed it.”

From a prompt you rewrite weekly to a system that runs itself

The result is a summary you can trust without re-listening to check it. Recaps route to the right person automatically instead of sitting in a shared doc nobody opens, and dashboards die u kunt aanpassen en white-label track recurring action items and decision themes over time, so this quarter’s meetings are measured against last quarter’s. A global entertainment leader put its creative and production meetings through this workflow across 261 sessions and cut documentation time by 90%+, zonder extra personeelsleden in te huren.

And because a prompt is only as good as what runs it, the same engine that generates summaries also scores conversations against your rubric and coaches your team on them, connecting the meeting assistant to call scoring en coaching across every meeting your team runs.